Published on in Vol 10, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36958, first published .
Predicting Risk of Hypoglycemia in Patients With Type 2 Diabetes by Electronic Health Record–Based Machine Learning: Development and Validation

Predicting Risk of Hypoglycemia in Patients With Type 2 Diabetes by Electronic Health Record–Based Machine Learning: Development and Validation

Predicting Risk of Hypoglycemia in Patients With Type 2 Diabetes by Electronic Health Record–Based Machine Learning: Development and Validation

Authors of this article:

Hao Yang1 Author Orcid Image ;   Jiaxi Li2 Author Orcid Image ;   Siru Liu3 Author Orcid Image ;   Xiaoling Yang4 Author Orcid Image ;   Jialin Liu1, 5 Author Orcid Image

Hao Yang   1 * , MSc ;   Jiaxi Li   2 * , MSc ;   Siru Liu   3 , PhD ;   Xiaoling Yang   4 , MSc ;   Jialin Liu   1, 5 , MD

1 Information Center, West China Hospital, Sichuan University, Chengdu, China

2 Department of Clinical Laboratory Medicine, Jinniu Maternity and Child Health Hospital of Chengdu, Chengdu, China

3 Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States

4 West China School of Nursing, Endocrinology and Metabolism Department, West China Hospital, Sichuan University, Chengdu, China

5 Department of Medical Informatics, West China Medical School, Chengdu, China

*these authors contributed equally

Corresponding Author:

  • Jialin Liu, MD
  • Information Center
  • West China Hospital
  • Sichuan University
  • No 37 Guoxue Road
  • Chengdu, 610041
  • China
  • Phone: 86 28-85422306
  • Fax: 86 28-85582944
  • Email: dljl8@163.com